Food design intelligent printing method based on 5G network communication

Abstract

The invention relates to the technical field of food intelligent printing, in particular to a food design intelligent printing method based on 5G network communication, and the method comprises the steps: monitoring the printing precision, speed, material viscosity and other key parameters in real time, and obtaining data through an image sensor, an encoder and a viscosity sensor through a 5G communication technology; and calculating a comprehensive quality score based on the quality parameters. The scoring result is compared with a preset interval, and each interval corresponds to one adjusting gear. Different parameter adjusting strategies and delay time are preset for each gear, so that the printing temperature and the material flow are stably adjusted, and system oscillation is avoided. Through utilization of a 5G network, corresponding order information, production information, real-time printing and other data and adjusted parameters are uploaded to a cloud end in real time, and data storage and analysis are supported. And the cloud end utilizes historical data to optimize a strategy and realize continuous learning, so that through combination of real-time monitoring, intelligent decision and remote communication, the printing defect risk is reduced, the resource utilization rate and the automation level are improved, and digital and intelligent development of food printing is promoted.

Description

Technical Field

[0001] This application relates to the field of intelligent food printing technology, and in particular to an intelligent printing method for food design based on 5G network communication. Background Technology

[0002] In the field of intelligent food printing, traditional methods typically rely on fixed or manually set printing control parameters, such as printing temperature and material flow rate, to maintain the printing process. However, the food printing environment is complex and variable, and material properties (such as viscosity) are easily affected by factors such as temperature and humidity. The printhead movement speed may also fluctuate due to mechanical wear or load changes, resulting in unstable print quality.

[0003] In existing technologies, print quality monitoring is often limited to a single parameter, such as focusing only on print accuracy or speed, lacking real-time comprehensive evaluation of multiple parameters (such as print accuracy, print speed, and material viscosity). This one-sidedness makes it impossible for the system to fully capture changes in the printing status, thus making it difficult to provide early warnings or effectively address quality degradation issues.

[0004] Furthermore, traditional adjustment mechanisms typically employ an instantaneous response approach, modifying parameters immediately upon detecting a deviation without introducing a delay period to allow for system stabilization. This can easily lead to over-adjustment or oscillation, exacerbating quality fluctuations. Parameter adjustment strategies are also relatively rigid, lacking tiered processing based on comprehensive scores and failing to differentiate responses according to the severity of quality issues. For example, parameters might remain unchanged for minor deviations, while significant adjustments are only made for severe problems. Summary of the Invention

[0005] This application provides a smart printing method for food design based on 5G network communication, which enables intelligent monitoring and adaptive adjustment of the printing process, thereby improving the stability, consistency and efficiency of printing quality.

[0006] This application provides a smart printing method for food design based on 5G network communication, including the following steps: Multiple quality parameters are monitored in real time during the printing process, and a comprehensive print quality score is calculated based on these multiple quality parameters. The overall print quality score is compared with multiple preset quality intervals to determine the quality interval to which the overall print quality score belongs. The multiple quality intervals cover the entire value range of the overall print quality score, and each quality interval corresponds to a parameter adjustment level. Based on the quality range, select the corresponding parameter adjustment level. Each parameter adjustment level has a predefined adjustment strategy and delay time for the printing control parameters, and the delay time is different for the first level and the third level. Wait for the delay time corresponding to the selected parameter adjustment level; After the delay time ends, the printing control parameters, including printing temperature and material flow rate, are dynamically adjusted according to the adjustment strategy of the selected parameter adjustment level.

[0007] Furthermore, the multiple quality parameters include printing accuracy, printing speed, and material viscosity. The printing accuracy is obtained by detecting the dimensional deviation rate of the printed product using an image sensor, the printing speed is obtained by measuring the print head movement speed using an encoder, and the material viscosity is monitored in real time using a viscosity sensor.

[0008] Furthermore, the formula for calculating the overall print quality score is as follows: ; in, For the overall score of print quality, For printing precision and with values ​​ranging from 0 to 100, The value is the printing speed and ranges from 0 to 100. The viscosity of the material is 0 to 100, and the printing accuracy, printing speed, and material viscosity are all normalized to the range of 0 to 100.

[0009] Furthermore, the preset multiple quality intervals include a first interval, a second interval, and a third interval, wherein the first interval corresponds to a comprehensive print quality score of less than 60, the second interval corresponds to a comprehensive print quality score of greater than or equal to 60 and less than 80, and the third interval corresponds to a comprehensive print quality score of greater than or equal to 80.

[0010] Furthermore, the parameter adjustment levels include a first level, a second level, and a third level, which correspond to the first interval, the second interval, and the third interval, respectively.

[0011] Furthermore, it includes: the adjustment strategy of the first gear is to increase the printing temperature by 5°C and the material flow rate by 5%, and the delay time is a first preset time; The adjustment strategy for the second gear is to keep the printing control parameters unchanged, and the delay time is 0 seconds; The adjustment strategy for the third gear is to reduce the printing temperature by 3°C and the material flow rate by 5%, and the delay time is the second preset time.

[0012] Furthermore, the first preset time is longer than the second preset time, the first preset time is in the range of 5 to 10 seconds, and the second preset time is in the range of 1 to 3 seconds.

[0013] Furthermore, the adjusted printing control parameters are uploaded to the cloud server in real time via the 5G network for storage and data analysis, and the preset strategy for adjusting the parameter levels is optimized based on historical data.

[0014] The beneficial effects of the technical solution provided in this application include: real-time monitoring of multiple key quality parameters, including printing accuracy, printing speed, and material viscosity. These parameters are obtained through image sensor detection of dimensional deviation rate, encoder measurement of printhead movement speed, and real-time monitoring by viscosity sensor, respectively. The monitoring data is used to calculate a comprehensive print quality score, with different weight allocations reflecting the degree of influence of each parameter on the overall quality, ensuring that the score comprehensively reflects the printing status.

[0015] The calculated overall score is compared with a preset quality range, which covers the entire range of score values ​​and is divided into three ranges: the first range, the second range, and the third range. Each range corresponds to a parameter adjustment level, namely the first level, the second level, and the third level. The level predefines the adjustment strategy and delay time for the print control parameters. The difference in delay time takes into account the magnitude of the adjustment, avoiding system over-response or oscillation and ensuring the smoothness of the adjustment.

[0016] By selecting the corresponding setting, the system dynamically adjusts printing control parameters, primarily including printing temperature and material flow rate, after a specified delay time, thereby optimizing the printing process in real time. This scoring and range-based setting mechanism achieves adaptive control, reduces reliance on manual intervention, and improves the level of printing automation.

[0017] The application of 5G networks enables adjusted parameters to be uploaded to cloud servers in real time for data storage and in-depth analysis. The cloud utilizes historical data to optimize parameter adjustment strategies, achieving continuous learning and improvement, further enhancing the predictability and reliability of the printing process. This method, by integrating real-time monitoring, intelligent decision-making, and remote communication, effectively reduces the risk of printing defects, improves resource utilization, and supports the food printing industry's development towards digitalization and intelligence. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating a smart printing method for food design based on 5G network communication, provided as an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] Please refer to Figure 1 As shown in the figure, this application provides a smart printing method for food design based on 5G network communication, including the following steps.

[0022] S1: Monitors multiple quality parameters during the printing process in real time and calculates a comprehensive print quality score based on these parameters.

[0023] Multiple quality parameters include printing accuracy, printing speed, and material viscosity. Printing accuracy is obtained by detecting the dimensional deviation rate of the printed product using an image sensor, printing speed is obtained by measuring the print head movement speed using an encoder, and material viscosity is monitored in real time using a viscosity sensor.

[0024] It monitors multiple quality parameters in real time during the printing process, including printing accuracy, printing speed, and material viscosity. Its purpose is to comprehensively capture key variables of the printing status to ensure the stability and consistency of printing quality.

[0025] Printing accuracy is obtained by detecting the dimensional deviation rate of the printed product through an image sensor. This is used to quantify the precision of the printed output and prevent dimensional errors from affecting the appearance and function of the finished product. Printing speed is obtained by measuring the print head movement speed through an encoder. This reflects printing efficiency and prevents speed fluctuations from causing material accumulation or breakage. Material viscosity is monitored in real time through a viscosity sensor to assess the material flow characteristics and ensure the uniformity of material supply during the printing process.

[0026] Real-time monitoring of these parameters provides a multi-dimensional data foundation for subsequent quality assessment, overcoming the limitations of traditional printing methods that rely on a single parameter or manual judgment.

[0027] Furthermore, the formula for calculating the overall print quality score is as follows: .

[0028] in, For the overall score of print quality, For printing precision and with values ​​ranging from 0 to 100, The value is the printing speed and ranges from 0 to 100. The value is the material viscosity, ranging from 0 to 100. Printing accuracy, printing speed, and material viscosity are all normalized to the range of 0 to 100.

[0029] A comprehensive print quality score is calculated based on multiple quality parameters using the weighted formula Q = 0.4 × P + 0.3 × S + 0.3 × V, where P, S, and V represent the normalized print accuracy, print speed, and material viscosity, respectively. The purpose of this comprehensive score is to integrate disparate quality indicators into a single quantitative value, facilitating rapid comparison and decision-making.

[0030] The weighting distribution reflects the degree of influence of different parameters on the overall quality. Printing accuracy has the highest weighting, emphasizing the importance of dimensional accuracy for food printing. Printing speed and material viscosity are weighted in a balanced way to ensure that efficiency and material condition are optimized together.

[0031] Different weights are set for printing accuracy, printing speed, and material viscosity. The purpose of this setting is to reflect the relative importance of each parameter to the printing quality of food, thereby optimizing the accuracy and practicality of the scoring algorithm.

[0032] Printing accuracy was assigned the highest weight of 0.4, while printing speed and material viscosity were each assigned 0.3. This allocation is based on the critical role of accuracy in the integrity and safety of the finished product during food printing. This weighting difference ensures that the overall score focuses more on the core factors affecting the final product quality, avoiding evaluation bias that might result from equal weighting, and improving the system's responsiveness during dynamic adjustments.

[0033] Printing accuracy is given higher weight than other parameters because, in food printing applications, dimensional accuracy directly determines the edibility, appearance consistency, and hygiene standards of the finished product. For example, dimensional deviations may result in loose food structures or failure to meet packaging requirements, thus affecting the consumer experience.

[0034] By detecting dimensional deviation rates using an image sensor, the accuracy parameter quantifies the geometric accuracy of the printed output, with high weighting emphasizing its priority in quality assessment. This addresses the problem of traditional methods neglecting the dominant role of accuracy, enabling comprehensive scoring to more effectively identify quality defects and providing a reliable basis for subsequent parameter adjustments.

[0035] The weighting of printing speed and material viscosity is set to 0.3, reflecting the auxiliary but indispensable role of efficiency and material condition in the printing process. Printing speed affects production throughput, but excessively high speeds may cause uneven material extrusion; material viscosity monitoring ensures flow stability and prevents clogging or breakage.

[0036] A moderate weighting balances the indirect impact of these parameters on quality, avoiding overemphasis on any single factor. This allocation of coordinated precision parameters constructs a comprehensive quality monitoring system, supporting the refined execution of adaptive control strategies, ultimately improving the stability and intelligence of the printing system. Parameters were normalized to the range of 0 to 100, eliminating dimensional differences and making the scores comparable and universal. This provides a scientific basis for subsequent adaptive adjustment of print control parameters, enabling real-time quantitative monitoring of print quality.

[0037] The purpose of normalizing parameters to a range of 0 to 100 is to unify the numerical scale of different quality parameters and eliminate differences in units and orders of magnitude between printing accuracy, printing speed, and material viscosity. Printing accuracy is expressed as a percentage of dimensional deviation rate, printing speed is measured in millimeters per second, and material viscosity is measured in Pascals per second. These parameters have different original value ranges and cannot be directly arithmetically calculated or compared.

[0038] By normalizing the parameters, each parameter is converted to a dimensionless scale of 0 to 100, making it possible to calculate the weighted comprehensive score and avoiding evaluation bias caused by mismatched dimensions. This provides a standardized input basis for the comprehensive print quality score, ensuring the objectivity and repeatability of the scoring results and supporting the accurate execution of subsequent adaptive adjustment strategies.

[0039] The normalization process is achieved through a linear mapping method, transforming the original measured values ​​of each parameter to a preset range of 0 to 100. For example, for printing accuracy P, its original value is the dimensional deviation rate. Assuming the reasonable deviation range is defined as 0% to 10%, the normalization formula is: P = 100 × (1 - actual deviation rate / 10%), where 0% deviation corresponds to P=100 and 10% deviation corresponds to P=0.

[0040] The original value of the printing speed S may be based on an ideal speed range, such as 50 mm / s to 150 mm / s. When normalized, S = 100 × (actual speed - 50) / (150 - 50) to ensure that the speed scores higher within the optimal range.

[0041] Similarly, for material viscosity V, based on viscosity sensor readings, an optimal viscosity range, such as 1 Pa·s to 5 Pa·s, is set and mapped using V = 100 × (actual viscosity - 1) / (5 - 1). This normalization method ensures that each parameter contributes evenly to the overall score, improving the system's sensitivity to changes in printing status.

[0042] The normalization technique further enhances the adaptive control capability of the overall solution, enabling the comprehensive print quality score to reflect the coordinated changes of multiple parameters in real time. By eliminating the influence of dimensions, the scoring calculation focuses more on the relative importance of parameters rather than absolute numerical differences.

[0043] The division of quality ranges and the selection of parameter adjustment levels provide a scientific basis, enabling dynamic optimization of the printing process. Normalization also enhances the system's versatility, making it applicable to different printing devices or material types, and improving the method's scalability and robustness.

[0044] S2: Compare the overall print quality score with multiple preset quality intervals to determine the quality interval to which the overall print quality score belongs. The multiple quality intervals cover the entire range of values ​​for the overall print quality score, and each quality interval corresponds to a parameter adjustment level.

[0045] The preset quality ranges include a first range, a second range, and a third range. The first range corresponds to a print quality score of less than 60, the second range corresponds to a print quality score of greater than or equal to 60 and less than 80, and the third range corresponds to a print quality score of greater than or equal to 80.

[0046] The parameter adjustment levels include the first level, the second level, and the third level, which correspond to the first interval, the second interval, and the third interval, respectively.

[0047] The overall print quality score is compared with multiple preset quality ranges to determine the quality range to which the score belongs. The purpose of this setting is to discretize continuous score values ​​into graded categories, so as to quickly map them to the corresponding parameter adjustment levels.

[0048] The preset intervals cover the entire range of scores, ensuring that any score result can be accurately categorized and avoiding blind spots in the evaluation. By dividing the score into three intervals—the first interval, the second interval, and the third interval—corresponding to scores less than 60, between 60 and 80, and greater than or equal to 80, respectively, this hierarchical structure is based on the actual needs of print quality. The low score interval indicates serious quality problems, the medium interval represents a stable state, and the high score interval represents room for improvement.

[0049] Each interval corresponds to a parameter adjustment level, such as the first level, the second level, and the third level, which simplifies the decision-making logic and enables the system to automatically select a predefined adjustment strategy based on the rating level, thereby improving response efficiency.

[0050] This technical feature plays a crucial role in resolving print quality fluctuations, establishing the basic framework for adaptive control through interval comparison. After scoring and classification, the system does not need to calculate complex strategies in real time; instead, it directly calls the predefined adjustment scheme corresponding to the grade, reducing processing latency.

[0051] For example, low scores trigger aggressive adjustments to prevent quality degradation, high scores trigger slight optimizations to maintain performance, and medium scores maintain the status quo to conserve resources. This addresses the shortcomings of traditional methods that rely on a single threshold or manual judgment, ensuring the continuity and stability of the printing process. The interval division also enhances the system's robustness, enabling it to adapt to different printing conditions and material variations, providing clear triggering conditions for subsequent delay time and parameter adjustments.

[0052] S3: Select the corresponding parameter adjustment level according to the quality range. Each parameter adjustment level has a predefined adjustment strategy and delay time for the print control parameters, and the delay time is different for the first and third levels.

[0053] After calculating a comprehensive score based on quality parameters such as printing accuracy, printing speed, and material viscosity, adjusting printing temperature and material flow rate is selected as the adjustment strategy. The purpose of setting these parameters is to directly intervene in the physical mechanism of the printing process to correct the monitored quality deviations. Printing temperature affects the flowability and curing properties of the material, while material flow rate determines the extrusion volume. The synergistic effect of the two can effectively regulate printing accuracy, speed adaptability, and viscosity stability.

[0054] For example, in the low-quality range, increasing the temperature and flow rate can reduce material viscosity and improve extrusion uniformity, thereby improving precision; in the high-quality range, decreasing the temperature and flow rate can optimize the curing process and prevent over-extrusion. This ensures that control actions are directly correlated with changes in quality parameters, achieving precise response.

[0055] The reason for adjusting the strategy for different quality ranges is that printing temperature and material viscosity are strongly correlated, while material flow rate and printing speed need to be dynamically matched. If the real-time monitoring value of material viscosity is too high, it indicates high flow resistance. Increasing the temperature can reduce viscosity and avoid clogging or dimensional errors. At the same time, increasing the flow rate compensates for insufficient extrusion and synergistically improves accuracy.

[0056] Variations in printing speed can cause material buildup or breakage. Adjusting the flow rate can maintain consistent extrusion, while fine-tuning the temperature can adapt to cooling rates under speed variations. Through comprehensive adjustments of temperature and flow rate, multi-parameter synergistic optimization is achieved.

[0057] Furthermore, the adjustment strategy for the first gear is to increase the printing temperature by 5°C and the material flow rate by 5%, with the delay time being the first preset time.

[0058] The adjustment strategy for the second gear is to keep the printing control parameters unchanged and the delay time is 0 seconds.

[0059] The third adjustment strategy is to reduce the printing temperature by 3°C and the material flow rate by 5%, with the delay time set to the second preset time.

[0060] The first preset time is longer than the second preset time. The first preset time is in the range of 5 to 10 seconds, and the second preset time is in the range of 1 to 3 seconds.

[0061] The purpose of selecting the corresponding parameter adjustment level based on the quality range is to convert the overall print quality rating into specific control commands, thereby achieving automated adjustment of print parameters.

[0062] Each parameter adjustment level has a predefined adjustment strategy and delay time for the print control parameters, ensuring that the system can execute differentiated response measures for different quality states. Through level mapping, the first level corresponds to the low quality range, triggering aggressive adjustments to correct serious defects; the second level corresponds to the medium quality range, maintaining the status quo to save resources; and the third level corresponds to the high quality range, performing slight optimizations to improve performance. This design solves the problem of blind parameter adjustments caused by quality fluctuations during printing, improving the accuracy and efficiency of control.

[0063] The adjustment strategy and delay time for each parameter adjustment level are predefined to adapt to the needs of different quality scenarios.

[0064] The first adjustment strategy is to increase the printing temperature by 5°C and the material flow rate by 5%, with a delay time of the first preset time, ranging from 5 to 10 seconds. The purpose is to alleviate material blockage or insufficient flow by gently increasing the temperature and flow rate. The longer delay ensures that the system is stable before the adjustment is performed, avoiding instantaneous impact.

[0065] Specifically, the adjustment strategy for the first setting is to increase the printing temperature by 5°C and the material flow rate by 5%. This setting aims to address the low-quality range where the overall print quality score is less than 60. This range indicates serious printing defects, such as dimensional deviations or insufficient material flowability. Increasing the temperature and flow rate can improve the material extrusion characteristics and correct clogging or unevenness issues.

[0066] This quickly mitigates quality degradation and prevents printing failures; combined with a longer delay time, it ensures system stability before adjustments are made, avoiding oscillations caused by instantaneous shocks and improving the reliability of adjustments.

[0067] The second setting keeps the parameters unchanged and has a 0-second delay, allowing for quick skipping of adjustments when quality is stable, reducing unnecessary intervention.

[0068] Specifically, the adjustment strategy for the second level is to keep the print control parameters unchanged. This setting is intended for a medium quality range where the score is between 60 and 80, indicating a relatively stable printing state that requires no active intervention. Keeping the parameters unchanged aims to maintain current printing efficiency and reduce unnecessary resource consumption.

[0069] Avoid fluctuations introduced by excessive adjustments to ensure printing continuity; zero-second delay enables instant response, optimizes system efficiency, and supports seamless operation.

[0070] The third setting reduces the printing temperature by 3°C and the material flow rate by 5%, with a delay time of the second preset time, ranging from 1 to 3 seconds. The shorter delay allows for quick fine-tuning to optimize print quality and prevent over-cooling or material waste. The difference in delay time is based on the severity of the quality issue; low-quality conditions require a longer stabilization time, while high-quality conditions can respond quickly.

[0071] The third adjustment strategy is set to reduce the printing temperature by 3°C and the material flow rate by 5%. This setting corresponds to a high-quality range with a score of 80 or higher. This range indicates excellent print quality, but there is room for optimization, such as preventing overheating or material waste. Slightly lowering the temperature and reducing the flow rate allows for fine-tuning of the printing process, improving accuracy and economy.

[0072] It maintains high-quality output while reducing energy consumption; the shorter latency allows for rapid fine-tuning to adapt to small-scale changes, enhancing system sensitivity and overall performance.

[0073] Adaptive dynamic adjustment of printing control parameters is achieved through a predefined gear strategy. The delay time setting takes into account the inertial characteristics of the printing system, ensuring that parameter changes are synchronized with the physical process and avoiding oscillations or failures caused by adjusting too early or too late.

[0074] S4: Waiting time corresponding to the selected parameter adjustment level.

[0075] The delay time corresponding to the selected parameter adjustment level is set to introduce a buffer period before adjusting the print control parameters, ensuring that the printing system has enough time to adapt to the current state change and avoid oscillations or instability caused by instantaneous adjustment.

[0076] The delay time is predefined based on parameter adjustment levels. For example, the first level corresponds to a longer delay (5 to 10 seconds) for a gentle transition in low-quality situations; the second level has a delay of 0 seconds, indicating no waiting is required; and the third level corresponds to a shorter delay (1 to 3 seconds) for a rapid response in high-quality situations. This differentiated delay design takes into account the physical inertia of the printing process, ensuring that parameter adjustments are dynamically synchronized with the system, preventing print quality fluctuations caused by premature or late intervention.

[0077] The delay time for the first quality setting is set to 5 to 10 seconds, higher than the 1 to 3 seconds for the third quality setting. This setting is based on the differences in system status across different quality ranges. The first quality setting corresponds to a low quality range where the overall print quality score is less than 60, indicating serious problems in the printing process, such as material blockage, dimensional deviations, or insufficient flowability.

[0078] At this time, the system may be in an unstable or oscillating state. The longer delay time allows the printing equipment to naturally transition to a relatively stable stage before parameter adjustment, avoiding the occurrence of further instability caused by immediate active adjustment in a chaotic state. During the buffer period, the system can self-regulate, reducing mechanical stress or material waste caused by instantaneous intervention and improving the reliability and safety of the adjustment strategy.

[0079] The third level corresponds to a high-quality range with a score of 80 or higher, indicating excellent and stable printing performance. The adjustment strategy is minor optimization (such as reducing temperature and flow rate). The shorter latency is designed to quickly respond to small changes because the system has less inertia in high-quality mode, resulting in lower adjustment risk.

[0080] The delay time is between 1 and 3 seconds, ensuring that optimization measures are executed promptly and preventing excessive delays from missing the optimal adjustment opportunity. This maintains high efficiency and further improves printing accuracy and energy efficiency through rapid fine-tuning without affecting continuous printing processes. The setting of delay time differences solves the timing matching problem in adaptive control, ensuring that adjustment actions are dynamically synchronized with the system.

[0081] The delay time and gear strategy work together: a longer delay is used in the low-quality range to allow the system to stabilize before active adjustments are made, a shorter delay is used in the high-quality range to achieve rapid optimization, and the delay is skipped in the medium-quality range to improve efficiency.

[0082] This solves the problem of fixed delays or ignoring transition periods in traditional printing methods, improving the reliability and specificity of parameter adjustments. Combined with the real-time data transmission of 5G networks, the delay also provides a time window for basic data acquisition, laying the foundation for subsequent cloud analysis and strategy optimization.

[0083] The delay time setting is based on actual printing environment testing, which can adapt to different material properties and equipment conditions, improving the method's versatility and robustness. This ultimately contributes to the continuous optimization of print quality, reduces the need for manual intervention, and enables the automated operation of the intelligent printing system.

[0084] S5: After the delay time ends, dynamically adjust the printing control parameters according to the adjustment strategy of the selected parameter adjustment level. The printing control parameters include printing temperature and material flow rate.

[0085] The adjusted printing control parameters are uploaded to the cloud server in real time via 5G network for storage and data analysis, and the preset strategy for adjusting the parameter level is optimized based on historical data.

[0086] After the delay time ends, the print control parameters are dynamically adjusted according to the adjustment strategy of the selected parameter adjustment level. The purpose of this setting is to execute predefined parameter modifications in order to directly respond to the classification results of the overall print quality score.

[0087] Printing control parameters include printing temperature and material flow rate. The adjustment strategy is customized based on quality ranges. For example, the first level increases the temperature by 5°C and the material flow rate by 5%, while the third level decreases the temperature by 3°C and the material flow rate by 5%. Dynamic adjustment ensures that the printing process can adapt to quality changes in real time, correct deviations, and maintain stability.

[0088] The adjusted printing control parameters are uploaded to the cloud server in real time via the 5G network for storage and data analysis. The purpose of this setting is to enable remote monitoring and historical tracking of data, and to support long-term optimization.

[0089] The upload process leverages the high bandwidth and low latency of 5G networks to ensure timely transmission of parameter data, avoiding the limitations of local storage. The cloud server analyzes the data, identifies patterns, and evaluates the effectiveness of adjustment strategies, providing a basis for optimizing preset strategies. This enhances the system's adaptability, enabling it to learn from historical experience and gradually improve the setting of parameter adjustment levels.

[0090] The preset strategy for adjusting parameters based on historical data serves to enable continuous self-improvement of the printing system. By analyzing accumulated data, cloud-based algorithms can adjust weights, latency, or strategy details to adapt to different printing conditions or material properties.

[0091] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0092] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0093] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0094] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0095] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A smart printing method for food design based on 5G network communication, characterized in that, Includes the following steps: Multiple quality parameters are monitored in real time during the printing process, and a comprehensive print quality score is calculated based on these multiple quality parameters. The overall print quality score is compared with multiple preset quality intervals to determine the quality interval to which the overall print quality score belongs. The multiple quality intervals cover the entire value range of the overall print quality score, and each quality interval corresponds to a parameter adjustment level. Based on the quality range, select the corresponding parameter adjustment level. Each parameter adjustment level has a predefined adjustment strategy and delay time for the printing control parameters, and the delay time is different for the first level and the third level. Wait for the delay time corresponding to the selected parameter adjustment level; After the delay time ends, the printing control parameters, including printing temperature and material flow rate, are dynamically adjusted according to the adjustment strategy of the selected parameter adjustment level.

2. The method according to claim 1, characterized in that, The multiple quality parameters include printing accuracy, printing speed, and material viscosity. The printing accuracy is obtained by detecting the dimensional deviation rate of the printed product using an image sensor. The printing speed is obtained by measuring the print head movement speed using an encoder. The material viscosity is monitored in real time using a viscosity sensor.

3. The method according to claim 2, characterized in that, The formula for calculating the overall print quality score is as follows: ； in, For the overall score of print quality, For printing precision and with values ​​ranging from 0 to 100, The value is the printing speed and ranges from 0 to 100. The viscosity of the material is 0 to 100, and the printing accuracy, printing speed, and material viscosity are all normalized to the range of 0 to 100.

4. The method according to claim 3, characterized in that, The preset multiple quality intervals include a first interval, a second interval, and a third interval, wherein the first interval corresponds to a comprehensive print quality score of less than 60, the second interval corresponds to a comprehensive print quality score of greater than or equal to 60 and less than 80, and the third interval corresponds to a comprehensive print quality score of greater than or equal to 80.

5. The method according to claim 4, characterized in that, The parameter adjustment levels include a first level, a second level, and a third level, which correspond to the first interval, the second interval, and the third interval, respectively.

6. The method according to claim 5, characterized in that, It includes: The adjustment strategy for the first gear is to increase the printing temperature by 5°C and the material flow rate by 5%, and the delay time is a first preset time; The adjustment strategy for the second gear is to keep the printing control parameters unchanged, and the delay time is 0 seconds; The adjustment strategy for the third gear is to reduce the printing temperature by 3°C and the material flow rate by 5%, and the delay time is the second preset time.

7. The method according to claim 6, characterized in that, The first preset time is longer than the second preset time. The first preset time is in the range of 5 to 10 seconds, and the second preset time is in the range of 1 to 3 seconds.

8. The method according to claim 7, characterized in that, The adjusted printing control parameters are uploaded to the cloud server in real time via 5G network for storage and data analysis, and the preset strategy for adjusting the parameter level is optimized based on historical data.

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